Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams

Daria Kormacheva; Lidia Pivovarova; Mihail Kopotev

Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams

Daria Kormacheva, Lidia Pivovarova, Mihail Kopotev

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.

Alkuperäiskieli	englanti
Otsikko	Proceedings : Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014)
Toimittajat	Verena Henrich, Erhard Hinrichs
Sivumäärä	7
Julkaisupaikka	Tübingen
Kustantaja	University of Tübingen
Julkaisupäivä	2014
Sivut	27-33
Tila	Julkaistu - 2014
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations - Tübingen, Saksa Kesto: 11 elok. 2014 → 15 elok. 2014 Konferenssinumero: CCLCC 2014

Tieteenalat

6121 Kielitieteet

Pääsy asiakirjaan

KormachevaPivovarovaKopotev_ESSLLI_CCLCCHyväksytty kirjoittajan käsikirjoitus, 180 KB

1 Aktiivinen

COLLOCATIONS, COLLIGATIONS AND CORPORA (CoCoCo)
Kopotev, M., Yangarber, R., Kormacheva, D., Pivovarova, L. & Pierce, M.
01/09/2012 → …
Projekti: Tutkimusprojekti

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Kormacheva, D., Pivovarova, L., & Kopotev, M. (2014). Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams. teoksessa V. Henrich, & E. Hinrichs (Toimittajat), Proceedings: Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014) (Sivut 27-33). University of Tübingen. http://www.sfs.uni-tuebingen.de/~vhenrich/cclcc_2014/

Kormacheva, Daria ; Pivovarova, Lidia ; Kopotev, Mihail. / Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams. Proceedings: Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014). Toimittaja / Verena Henrich ; Erhard Hinrichs. Tübingen : University of Tübingen, 2014. Sivut 27-33

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title = "Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams",

abstract = "This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.",

keywords = "6121 Languages",

author = "Daria Kormacheva and Lidia Pivovarova and Mihail Kopotev",

year = "2014",

language = "English",

pages = "27--33",

editor = "Verena Henrich and Erhard Hinrichs",

booktitle = "Proceedings",

publisher = "University of T{\"u}bingen",

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note = "Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations ; Conference date: 11-08-2014 Through 15-08-2014",

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Kormacheva, D, Pivovarova, L & Kopotev, M 2014, Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams. julkaisussa V Henrich & E Hinrichs (toim), Proceedings: Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014). University of Tübingen, Tübingen, Sivut 27-33, Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations, Tübingen, Saksa, 11/08/2014. <http://www.sfs.uni-tuebingen.de/~vhenrich/cclcc_2014/>

Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams. / Kormacheva, Daria; Pivovarova, Lidia ; Kopotev, Mihail.

Proceedings: Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations (CCLCC 2014). toim. / Verena Henrich; Erhard Hinrichs. Tübingen : University of Tübingen, 2014. s. 27-33.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams

AU - Kormacheva, Daria

AU - Pivovarova, Lidia

AU - Kopotev, Mihail

N1 - Conference code: CCLCC 2014

PY - 2014

Y1 - 2014

N2 - This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.

AB - This paper focuses on automatic determination of the distributional preferences of words in Russian. We present the comparison of six different measures for collocation extraction, part of which are widely known, while others are less prominent or new. For these metrics we evaluate the semantic stability of automatically obtained bigrams beginning with single-token prepositions. Manual annotation of the first 100 bigrams and comparison with the dictionary of multi-word expressions are used as evaluation measures. Finally, in order to present error analysis, two prepositions are investigated in some details.

KW - 6121 Languages

M3 - Conference contribution

SP - 27

EP - 33

BT - Proceedings

A2 - Henrich, Verena

A2 - Hinrichs, Erhard

PB - University of Tübingen

CY - Tübingen

T2 - Workshop on Computational, Cognitive, and Linguistic Approaches to the Analysis of Complex Words and Collocations

Y2 - 11 August 2014 through 15 August 2014

ER -

Automatic Collocation Extraction and Classification of Automatically Obtained Bigrams

Abstrakti

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Projektit

COLLOCATIONS, COLLIGATIONS AND CORPORA (CoCoCo)

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